- 专利标题: OPERATION METHOD FOR ARTIFICIAL NEURAL NETWORK
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申请号: US17096575申请日: 2020-11-12
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公开(公告)号: US20210158160A1公开(公告)日: 2021-05-27
- 发明人: Wei-Chen Wang , Shu-Yin Ho , Chien-Chung Ho , Yuan-Hao Chang
- 申请人: MACRONIX International Co., Ltd.
- 申请人地址: TW Hsinchu
- 专利权人: MACRONIX International Co., Ltd.
- 当前专利权人: MACRONIX International Co., Ltd.
- 当前专利权人地址: TW Hsinchu
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06N3/04 ; G06F3/06
摘要:
An operation method of an artificial neural network is provided. The operation method includes: dividing input information into a plurality of sub-input information, and expanding kernel information to generate expanded kernel information; performing a Fast Fourier Transform (FFT) on the sub-input information and the expanded kernel information to respectively generate a plurality of frequency domain sub-input information and frequency domain expanded kernel information; respectively performing a multiplying operation on the frequency domain expanded kernel information and the frequency domain sub-input information to respectively generate a plurality of sub-feature maps; and performing an inverse FFT on the sub-feature maps to provide a plurality of converted sub-feature maps for executing a feature extraction operation of the artificial neural network.
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